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DRA Systems: OR-Objects 1.2.4: Class  PopulationProportion
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drasys.or.stat</FONT>
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Class  PopulationProportion</H2>
<PRE>
java.lang.Object
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  +--<B>drasys.or.stat.PopulationProportion</B>
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<DL>
<DT>public class <B>PopulationProportion</B><DT>extends java.lang.Object</DL>

<P>
Estimate the population proportion and confidence interval from a sample.
<P><FONT COLOR="#CC0000"><FONT SIZE=+1>References:</FONT></FONT><FONT SIZE=+1></FONT><P><B><A NAME="0135641470"HREF="http://www.amazon.com/exec/obidos/ISBN=0135641470/opsresearchcomA/" TARGET="amazon.com">Mathematical Statistics : Basic Ideas and Selected Topics</A></B><BR>&nbsp;&nbsp;&nbsp;&nbsp;Peter J. Bickel / Hardcover / Published 1991<BR><B><A NAME="0023557222"HREF="http://www.amazon.com/exec/obidos/ISBN=0023557222/opsresearchcomA/" TARGET="amazon.com">Introduction to Mathematical Statistics</A></B><BR>&nbsp;&nbsp;&nbsp;&nbsp;Robert V. Hogg, Allen T. Craig (Contributor) / Hardcover / Published 1995<BR><B><A NAME="0534209165"HREF="http://www.amazon.com/exec/obidos/ISBN=0534209165/opsresearchcomA/" TARGET="amazon.com">Mathematical Statistics With Applications</A></B><BR>&nbsp;&nbsp;&nbsp;&nbsp;Dennis D. Wackerly, et al / Hardcover / Published 1996<BR><B><A NAME="020111366X"HREF="http://www.amazon.com/exec/obidos/ISBN=020111366X/opsresearchcomA/" TARGET="amazon.com">Probability and Statistics</A></B><BR>&nbsp;&nbsp;&nbsp;&nbsp;Morris H. Degroot / Hardcover / Published 1986<BR><B><A NAME="0521431085"HREF="http://www.amazon.com/exec/obidos/ISBN=0521431085/opsresearchcomA/" TARGET="amazon.com">Numerical Recipes in C : The Art of Scientific Computing</A></B><BR>&nbsp;&nbsp;&nbsp;&nbsp;William H. Press, et al / Hardcover / Published 1993<BR>
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<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#PopulationProportion(boolean[])">PopulationProportion</A></B>(boolean[]&nbsp;sample)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create an estimator with a boolean valued sample.</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#PopulationProportion(int[])">PopulationProportion</A></B>(int[]&nbsp;sample)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create an estimator with an integer valued sample.</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#PopulationProportion(int[], int)">PopulationProportion</A></B>(int[]&nbsp;sample,
                     int&nbsp;minSuccess)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create an estimator with an integer valued sample.</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#PopulationProportion(int, int)">PopulationProportion</A></B>(int&nbsp;sampleSize,
                     int&nbsp;successCount)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create an estimator with explicit statistics.</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#PopulationProportion(drasys.or.matrix.VectorI)">PopulationProportion</A></B>(<A HREF="../../../drasys/or/matrix/VectorI.html">VectorI</A>&nbsp;sample)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create an estimator with a real valued sample.</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#PopulationProportion(drasys.or.matrix.VectorI, double)">PopulationProportion</A></B>(<A HREF="../../../drasys/or/matrix/VectorI.html">VectorI</A>&nbsp;sample,
                     double&nbsp;minSuccess)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create an estimator with a real valued sample.</TD>
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<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#getLowerBound(double)">getLowerBound</A></B>(double&nbsp;confidenceLevel)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Computes the lower bound of the confidence interval.</TD>
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<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#getProportion()">getProportion</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the estimate of the proportion of successes in the population.</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
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<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#getUpperBound(double)">getUpperBound</A></B>(double&nbsp;confidenceLevel)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Computes the upper bound of the confidence interval.</TD>
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<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../drasys/or/stat/PopulationProportion.html#size()">size</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the size of the sample.</TD>
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<TD><B>Methods inherited from class java.lang.Object</B></TD>
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<TD><CODE>clone, 
equals, 
finalize, 
getClass, 
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notify, 
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toString, 
wait, 
wait, 
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<A NAME="PopulationProportion(int, int)"><!-- --></A><H3>
PopulationProportion</H3>
<PRE>
public <B>PopulationProportion</B>(int&nbsp;sampleSize,
                            int&nbsp;successCount)</PRE>
<DL>
<DD>Create an estimator with explicit statistics.</DL>
<HR>

<A NAME="PopulationProportion(boolean[])"><!-- --></A><H3>
PopulationProportion</H3>
<PRE>
public <B>PopulationProportion</B>(boolean[]&nbsp;sample)</PRE>
<DL>
<DD>Create an estimator with a boolean valued sample.
Sample values of 'true' are counted as successes.</DL>
<HR>

<A NAME="PopulationProportion(drasys.or.matrix.VectorI)"><!-- --></A><H3>
PopulationProportion</H3>
<PRE>
public <B>PopulationProportion</B>(<A HREF="../../../drasys/or/matrix/VectorI.html">VectorI</A>&nbsp;sample)</PRE>
<DL>
<DD>Create an estimator with a real valued sample.
Sample values greater than zero are counted as successes.</DL>
<HR>

<A NAME="PopulationProportion(drasys.or.matrix.VectorI, double)"><!-- --></A><H3>
PopulationProportion</H3>
<PRE>
public <B>PopulationProportion</B>(<A HREF="../../../drasys/or/matrix/VectorI.html">VectorI</A>&nbsp;sample,
                            double&nbsp;minSuccess)</PRE>
<DL>
<DD>Create an estimator with a real valued sample.
Sample values greater than or equal to 'minSuccess' are counted as successes.</DL>
<HR>

<A NAME="PopulationProportion(int[])"><!-- --></A><H3>
PopulationProportion</H3>
<PRE>
public <B>PopulationProportion</B>(int[]&nbsp;sample)</PRE>
<DL>
<DD>Create an estimator with an integer valued sample.
Sample values greater than zero are counted as successes.</DL>
<HR>

<A NAME="PopulationProportion(int[], int)"><!-- --></A><H3>
PopulationProportion</H3>
<PRE>
public <B>PopulationProportion</B>(int[]&nbsp;sample,
                            int&nbsp;minSuccess)</PRE>
<DL>
<DD>Create an estimator with an integer valued sample.
Sample values greater than or equal to 'minSuccess' are counted as successes.</DL>

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<A NAME="size()"><!-- --></A><H3>
size</H3>
<PRE>
public double <B>size</B>()</PRE>
<DL>
<DD>Returns the size of the sample.</DL>
<HR>

<A NAME="getProportion()"><!-- --></A><H3>
getProportion</H3>
<PRE>
public double <B>getProportion</B>()</PRE>
<DL>
<DD>Returns the estimate of the proportion of successes in the population.</DL>
<HR>

<A NAME="getLowerBound(double)"><!-- --></A><H3>
getLowerBound</H3>
<PRE>
public double <B>getLowerBound</B>(double&nbsp;confidenceLevel)</PRE>
<DL>
<DD>Computes the lower bound of the confidence interval.</DL>
<HR>

<A NAME="getUpperBound(double)"><!-- --></A><H3>
getUpperBound</H3>
<PRE>
public double <B>getUpperBound</B>(double&nbsp;confidenceLevel)</PRE>
<DL>
<DD>Computes the upper bound of the confidence interval.</DL>
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